
Mattia FRASCA
Mattia Frasca was born in Siracusa, Italy, in 1976. He graduated in Electronics Engineering in 2000 and received the Ph.D. in Electronics and Automation Engineering in 2003, at the University of Catania, Italy. Currently, he is associate professor at the University of Catania, where he also teaches process control and complex adaptive systems. His scientific interests include nonlinear systems and chaos, control of complex networks and bio-inspired robotics. He is involved in many research projects and collaborations with industries and academic centers. He is referee for many international journals and conferences, Associate Editor of the Journal of Complex Networks and Editor of Chaos, Solitons and Fractals. He served as Associate Editor for IEEE Transactions on Circuits and Systems I in 2012-15 and as Associate Editor of the International Journal of Bifurcations and Chaos. He was one of the organizers of the 10th “Experimental Chaos Conference”, co-chair of the 4th International Conference on Physics and Control and chair of the European Conference on Circuit Theory and Design 2017. He is coauthor of one research monograph with Springer, three with World Scientific, and one book on Optimal and robust control and one on Nonlinear Cicruits with CRC Press. He published more than 250 papers on refereed international journals and international conference proceedings and is co-author of two international patents. He is member of the IEEE CAS Education Technical Committee and IEEE CNN Technical Committee. He was selected as member of the IEEE Forum for Leading Researchers, Amsterdam, in 2013. He has been the President of the Italian Society for Chaos and Complexity (SICC) for the period 2018-21. He is member of the Accademia Gioenia.
Ultimo aggiornamento: 22/04/2022
For an updated list of Mattia Frasca's publications please visit: https://scholar.google.com/citations?user=dgC6baoAAAAJ&hl=it&oi=ao
The research activity of Mattia Frasca focuses on:
- nonlinear systems and circuits: analysis and control;
- control of complex networks;
- dynamics on complex networks;
- epidemic modeling.